Hanchen Wang

Hanchen Wang is a Postdoctoral Research Fellow at Stanford AI Lab and Genentech, working under Jure Leskovec and Aviv Regev. He holds a PhD in Computer Science from Cambridge University completed in 3 years under Joan Lasenby, and a BS in Physics from Nanjing University where he was valedictorian. His research bridges artificial intelligence and biomedical discovery, with appointments spanning both academic and industry settings.

Wang's research focuses on AI for Science, particularly developing autonomous agents for biomedical discovery. His work spans multi-omics analysis, spatial transcriptomics, live-cell imaging, and perturbation assays, with applications in cancer therapeutics, autoimmune diseases, and neurological disorders. He has pioneered multiple AI agent frameworks including Biomni (a general-purpose biomedical agent), SpatialAgent, and PerTurboAgent for specialized biological discovery tasks.

His publication record demonstrates significant impact across both computer science and biology venues, with first-author papers in Nature, Nature Biotechnology, and NeurIPS. His research has been deployed by Anthropic, Amazon Web Services, and Genentech, and featured in Nature, The Economist, and DeepMind communications.

• Chan Zuckerberg Initiative Faculty Applicant Bootcamp participant
• UCSF Gladstone Institute Trainee-to-Tenure Track Program member
• OpenAI Researcher Access Program recipient
• Multiple conference travel awards

Wang actively mentors early-career researchers including PhD students from institutions like CSHL, MIT, Harvard, and KAIST. He serves as Area Chair for ICLR 2026, organizes workshops on AI for Science at major conferences, and gives invited talks at leading institutions including Harvard, Yale, and the Broad Institute. His research is supported by Genentech internal funding ($500k/year) and OpenAI resources.